Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.4 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Bulgarelli
8
69 kgNazaret
10
65 kgPanizo
11
72 kgAndriato
12
67 kgMay
13
73 kgSeabra
14
67 kgOchoa
17
62 kgdos Santos
21
70 kgMédici
28
70 kgSepulveda
29
66 kgArriagada
32
56 kgQuadri
35
67 kgFiorilli
38
63 kgNicácio
44
72 kgBrunetta
56
97 kgArseno
63
71 kgMedina
70
65 kgRamos
79
65 kg
8
69 kgNazaret
10
65 kgPanizo
11
72 kgAndriato
12
67 kgMay
13
73 kgSeabra
14
67 kgOchoa
17
62 kgdos Santos
21
70 kgMédici
28
70 kgSepulveda
29
66 kgArriagada
32
56 kgQuadri
35
67 kgFiorilli
38
63 kgNicácio
44
72 kgBrunetta
56
97 kgArseno
63
71 kgMedina
70
65 kgRamos
79
65 kg
Weight (KG) →
Result →
97
56
8
79
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | BULGARELLI Otavio | 69 |
| 10 | NAZARET Magno | 65 |
| 11 | PANIZO Gregolry | 72 |
| 12 | ANDRIATO Rafael | 67 |
| 13 | MAY Márcio | 73 |
| 14 | SEABRA Renato | 67 |
| 17 | OCHOA Carlos José | 62 |
| 21 | DOS SANTOS Nilceu Aparecido | 70 |
| 28 | MÉDICI Matías | 70 |
| 29 | SEPULVEDA Luis Fernando | 66 |
| 32 | ARRIAGADA Marcelo Ruben | 56 |
| 35 | QUADRI Hernandes | 67 |
| 38 | FIORILLI Tiago | 63 |
| 44 | NICÁCIO Pedro | 72 |
| 56 | BRUNETTA Guillermo | 97 |
| 63 | ARSENO Alex | 71 |
| 70 | MEDINA Jose Alfredo | 65 |
| 79 | RAMOS Kléber | 65 |